Senior AI Engineer

Responsibilities

You will implement memory management for AI agents and develop retrieval-augmented generation (RAG) pipelines to integrate LLMs with real-time data. Additionally, you will optimize model performance and deploy scalable solutions using cloud platforms and containerization tools.

Requirements

The role requires 5+ years of experience in AI/ML with deep expertise in Generative AI, LLMs, and RAG pipelines. Candidates must also possess 1-2 years of backend software engineering experience and a background in Computer Science.

Skills

• Generative AI
• LLMs
• RAG
• Memory Management
• Prompt Engineering
• Transfer Learning
• Hugging Face
• LangChain
• OpenAI APIs
• FAISS
• Pinecone
• Weaviate
• AWS
• GCP
• Azure
• Docker

About this role

About Refold AI
Refold AI is the AI integration platform built for agents, made for modern SaaS companies that need to ship enterprise integrations at scale. We're reimagining integrations with AI agents that work like business consultants and integration engineers, building them 10x faster, in hours instead of days. The payoff: integrations stop being a bottleneck that costs you deals and burns margin, and become a growth engine. You win the enterprise deals that hinge on them, onboard faster, and scale without an army of consultants.
We've grown rapidly, reaching seven-figure ARR and 30+ paying customers, powering the product and professional services teams at modern SaaS companies, from Incorta, Kantata, and Coupa to Highradius, Naehas, and OvationCXM.
Refold AI has raised $6.5M from world-class investors including Eniac Ventures (early investors in Airbnb & Uber), Tidal Ventures, and Better Capital.
What you'll do:
Implement memory for our AI Agents, ensuring proper context management
Apply retrieval-augmented generation (RAG) pipelines to integrate LLMs with real-time data and context.
Apply advanced techniques in prompt engineering, transfer learning, and custom model training.
Optimise model performance and cost across production environments.
Work with tools like Hugging Face, LangChain, OpenAI APIs, and vector databases (FAISS, Pinecone, Weaviate).
Deploy scalable models using cloud platforms like AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes.
Collaborate with global teams and researchers in a fast-paced, remote-first setup.
What we're looking for:
5+ years of experience in AI/ML with deep exposure to Generative AI and LLMs
Experience working in Memory Management, Context setting and RAG
1-2 yrs of purely Backed SDE experience is a must for this role
Preferably from Tier 1 colleges with a background in CSE preferred

About Refold AI

Software Development · 11-50 employees · headquartered in San Francisco, California · founded 2022